A CMOS-Compatible Spectrum Analyzer for Cognitive Radio Exploiting Crosscorrelation to Improve Linearity and Noise Performance

    Research output: Contribution to journalArticleAcademicpeer-review

    18 Citations (Scopus)
    75 Downloads (Pure)

    Abstract

    Abstract—A spectrum analyzer requires a high linearity to handle strong signals, and at the same time a low NF to enable detection of much weaker signals. This is not only important for lab equipment, but also for the spectrum sensing part of cognitive radio, where low cost and integration is at a premium. Often there is a trade-off between linearity and noise: improving one degrades the other. Crosscorrelation can break this tradeoff by reducing noise at the expense of measurement time. An existing RF frontend in CMOS-technology with IIP3=+11dBm and NF=5.5 dB is duplicated and attenuators are put in front to increase linearity to IIP3=+24 dBm. The attenuation degrades NF, but by using crosscorrelation of the outputs of the two frontends, the effective NF is reduced to around 5 dB. In total, this results in a spurious-free dynamic range of 88 dB in 1MHz resolution bandwidth.
    Original languageEnglish
    Pages (from-to)479-492
    Number of pages14
    JournalIEEE transactions on circuits and systems I: regular papers
    Volume59
    Issue number3
    DOIs
    Publication statusPublished - Mar 2012

    Keywords

    • EWI-20456
    • IR-79000
    • METIS-281529

    Fingerprint Dive into the research topics of 'A CMOS-Compatible Spectrum Analyzer for Cognitive Radio Exploiting Crosscorrelation to Improve Linearity and Noise Performance'. Together they form a unique fingerprint.

    Cite this